We performed a comparison between Aster Data Map Reduce and Microsoft Azure Synapse Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"The most valuable feature is the ease of uploading data from multiple sources."
"It's stable and reliable."
"It's scalable; you can scale up and scale down."
"Its seamless integration with Azure services is most valuable. If somebody wants to use all Azure services, it is the best solution."
"Very interactive and provides flexibility."
"We've had a good experience with technical support in general."
"Can capture all the transactional data throughout a company."
"Synapse makes it easy to integrate and onboard data from other Microsoft and Azure sources. The interface is familiar because we were using Azure Data Factory before Synapse. It made the transition even easier because the Synapse interface is exactly the same."
"The most valuable aspect of this Microsoft Azure Synapse Analytics is its consolidation of technical support from Microsoft, and its ability to securely host large quantities of data within the cloud environment. The overall ability to manage and maintain Big Data within the cloud provides a heightened level of efficiency, reliability, and support from Microsoft. This results in a superior user experience and an increased level of value for the end user."
"The best thing about it is that it has integration at multiple places. It can talk to more than 90 types of data sources, which is one good thing about it."
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."
"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."
"There are some ways that the handling of unstructured data could be improved."
"Unfortunately, we have had some issues with the dashboard reporting. Sometimes, the data for specific periods would just appear blank on the dashboard. To investigate this, we worked with a Microsoft incident agent and it turned out to be a result of bugs in the platform when dealing with specific types of queries in Azure Data Factory."
"Microsoft should develop an interface to make it easier to shift from on-premise to the cloud."
"The solution does not support oriented scaling in the synapse."
"Comes with a pretty steep learning curve."
"Microsoft Azure Synapse Analytics could improve its compatibility with Visual Studio. One of the challenges for people moving from an on-premise to a cloud solution, such as Microsoft Azure Synapse Analytics, is that you're constantly working in a browser. There are people that have been working for decades on desktop applications. For them to start working in a browser, it's quite a change. Allowing people to work and do their work inside Visual Studio than in the browser, would be a large advantage."
"The need to improve a little bit in terms of user-friendliness."
"It's a complicated product."
"It could be beneficial to focus on integration with various data sources and similar enhancements."
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Aster Data Map Reduce is ranked 19th in Data Warehouse with 3 reviews while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 85 reviews. Aster Data Map Reduce is rated 7.4, while Microsoft Azure Synapse Analytics is rated 7.8. The top reviewer of Aster Data Map Reduce writes "Has good base product functionality of data storage and analytics but there should be an option to use it on the cloud ". On the other hand, the top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". Aster Data Map Reduce is most compared with , whereas Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Teradata.
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